structured-prediction | Topic | Ecosyste.ms: Repos

Topic: "structured-prediction"

yzhangcs/parser

:rocket: State-of-the-art parsers for natural language.

Language: Python - Size: 698 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 853 - Forks: 148

FranxYao/Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

Size: 32 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 390 - Forks: 32

X-LANCE/text2sql-lgesql

[ACL 2021] This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".

Language: Python - Size: 290 KB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 147 - Forks: 36

lyutyuh/ASP

PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf

Language: Python - Size: 5.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 15

jerbarnes/semeval22_structured_sentiment

SemEval-2022 Shared Task 10: Structured Sentiment Analysis

Language: Python - Size: 10.4 MB - Last synced at: 4 days ago - Pushed at: about 3 years ago - Stars: 78 - Forks: 42

divelab/dilated Fork of zhengyang-wang/Deeplab-v2--ResNet-101--Tensorflow

Smoothed Dilated Convolutions for Improved Dense Prediction

Language: Python - Size: 504 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 73 - Forks: 16

eth-ait/spl

Structured Prediction Helps 3D Human Motion Modelling - ICCV '19

Language: Python - Size: 65.9 MB - Last synced at: 25 days ago - Pushed at: almost 2 years ago - Stars: 58 - Forks: 12

hellowangqian/domain-adaptation-capls

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Language: MATLAB - Size: 63.5 KB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 58 - Forks: 12

FranxYao/Gumbel-CRF

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Language: Python - Size: 24.3 MB - Last synced at: 17 days ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 9

chaitanyamalaviya/NeuralFactorGraph

This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.

Language: Python - Size: 1.5 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 51 - Forks: 8

TheShadow29/infnet-spen

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

Language: Python - Size: 1.31 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 30 - Forks: 1

zzsfornlp/zmsp

The Mingled Structured Predictor

Language: Python - Size: 6.8 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 7

HaojiHu/Sets2Sets

Sequential sets to sequential sets learning

Language: Python - Size: 3.48 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 27 - Forks: 10

unitn-sml/pyconstruct

Python library for declarative, constrained, structured-output prediction.

Language: Python - Size: 13.7 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 4

lyutyuh/structured-span-selector

A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semantic role labelling, etc.)

Language: Python - Size: 432 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 1

lmotte/graph-prediction-with-fused-gromov-wasserstein

Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT library (Python Optimal Transport).

Language: Python - Size: 1.64 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 2

hi-paris/structured-predictions

Language: Jupyter Notebook - Size: 179 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 5

p-lambda/composed_finetuning

Code for the ICML 2021 paper "Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization" by Sang Michael Xie, Tengyu Ma, Percy Liang

Language: Python - Size: 35.7 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

lmotte/metabolite-identification-with-fused-gromov-wasserstein

Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 for solving the metabolite identification problem.

Language: Python - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

SUDA-LA/Unsupervised-Structured-Prediction

Must-read papers for unsupervised structured prediction

Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

lancopku/CRF-ADF

CRF Toolkit based on C#; support ADF (Adaptive stochastic gradient Decent based on Feature-frequency information, ACL 2012)

Language: C# - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 2

lkwbr/structured-prediction

Machine learning algorithms for structured inputs and outputs, such as on OCR and voice-to-text data.

Language: Python - Size: 6.87 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 1

hrshtv/CTreeOT

[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'

Language: Python - Size: 453 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

negrinho/beam_learn_supertagging

Code for "An Empirical Investigation of Beam-Aware Training in Supertagging" to appear in EMNLP Findings 2020

Language: Python - Size: 50.8 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

A plug-and-play adapter architecture that efficiently adapts large language models to downstream tasks. Essential for client-server architecture language model services. A practical approach to adapting LLMs' hidden activations without modifying the base model.

Language: Python - Size: 67.4 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 1